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可视化本体:一个案例研究

Visualizing ontologies: a case study
课程网址: http://videolectures.net/iswc2011_howse_visualizing/  
主讲教师: John Howse
开课单位: 布莱顿大学
开课时间: 2011-11-25
课程语种: 英语
中文简介:
引入概念图是为了以一种比符号符号符号更容易被开发人员和其他利益相关者访问的方式精确地指定本体。本文以概念图为例对语义传感器网络(SSN)本体进行可视化描述。SSN本体最初是由W3C的孵化器小组开发的。在本体中,传感器是实现传感的物理对象,由单个传感器进行观察。这些角色和概念,以及其他角色和概念,都是通过概念图直观地捕捉到的,但精确地捕捉到。我们考虑了从开发这个可视化模型中吸取的经验教训,并展示了如何将描述逻辑公理转换为概念图。我们还演示了如何将简单的概念图公理合并为更复杂的公理,同时确保图保持相对整洁。
课程简介: Concept diagrams were introduced for precisely specifying ontologies in a manner more readily accessible to developers and other stakeholders than symbolic notations. In this paper, we present a case study on the use of concept diagrams in visually specifying the Semantic Sensor Networks (SSN) ontology. The SSN ontology was originally developed by an Incubator Group of the W3C. In the ontology, a sensor is a physical object that implements sensing and an observation is observed by a single sensor. These, and other, roles and concepts are captured visually, but precisely, by concept diagrams. We consider the lessons learnt from developing this visual model and show how to convert description logic axioms into concept diagrams. We also demonstrate how to merge simple concept diagram axioms into more complex axioms, whilst ensuring that diagrams remain relatively uncluttered.
关 键 词: 利益相关者; 传感器观测; 描述逻辑公理
课程来源: 视频讲座网
最后编审: 2020-07-31:yumf
阅读次数: 39